Those users have been willing to put up with a regression of features compared to traditional RDBMS, ETL, and business intelligence tools. For example, with NoSQL systems, they gave up ACID compliancy. With Hadoop, they gave up traditional ETL features, a nice GUI, and real-time querying. With business intelligence, they forgo real-time visualization and data interactivity. The list goes on. Whether this group perceives those features as real sacrifices or not depends on each use case.
Merging into the mainstream
The early majority of new adopters of big data technology will want those features back eventually. And when big data technology providers deliver them, big data as a distinct category will cease to exist.
At the same time, the rate of data growth will continue to accelerate. Today, Web clickstream data, systems events, and other sources close to the core technology we depend on supply much of the new, semi-structured data fueling big data processing. In the future, mobile devices and "the Internet of things" -- connected via RFIDs and other sensors -- will enable us to collect and analyze huge new waves of data from manufacturing systems, transportation infrastructure, medical instruments, and just about any vertical scenario you can imagine.
So it pays to look closely at the first big data applications as they arise. The emerging technologies we associate with big data today will be considered the standard data management fabric to handle these subsequent data explosions.
In this blog series, we invite you to join us on this evolutionary journey. We'll report on the latest technology developments and share thought-provoking case studies -- including big data efforts that are helping win the war on cancer or increasing the chances that money laundering can be detected. We welcome input and examples from readers and hope you enjoy the ride with us.
This article, "The big data journey," was originally published at InfoWorld.com. Read more of Andrew Lampitt's Think Big Data blog, and keep up on the latest developments in big data at InfoWorld.com For the latest business technology news, follow InfoWorld.com on Twitter.